Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
'25
Papers (including subtopics)
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
ICLR 2025
Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets
ACL 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
AAAI 2025
Approximate information maximization for bandit games
AISTATS 2025
Approximate State Abstraction for Markov Games
AAAI 2025
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret
L4DC 2025
A Practical Analysis of Human Alignment with *PO
NAACL 2025
A Practical Approach to Causal Inference over Time
AAAI 2025
A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish
ACL 2025
A Preliminary Study on NLP-Based Personalized Support for Type 1 Diabetes Management
NAACL 2025
A primer on linear classification with missing data
AISTATS 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training
EMNLP 2025
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising
AAAI 2025
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
CVPR 2025
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training
ACL 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
EMNLP 2025
ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition
EMNLP 2025
ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models
COLING 2025
ArabicWeb-Edu: Educational Quality Data for Arabic LLM Training
EMNLP 2025
AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models
EMNLP 2025
A Rapid Test for Accuracy and Bias of Face Recognition Technology
WACV 2025
AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP
EMNLP 2025
AraSafe: Benchmarking Safety in Arabic LLMs
EMNLP 2025
AraSim: Optimizing Arabic Dialect Translation in Children’s Literature with LLMs and Similarity Scores
COLING 2025
Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks
ACL 2025